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Re: On metrics
Dear Aaron,
Thanks for your thoughtful response to the list. COUNTER
compliance could in the future require publishers to adhere to
filtering out industry-defined lists of robots. But as you
rightly described, there are many unregistered robots, and
figuring out whether a machine or a human being is behind an IP
address is becoming more difficult to do.
I'm still a bit confused with the intention of bepres's news
release. Is the purpose simply to notify subscribers on your
changes and their impact on download statistics? Or is there an
intent to push the industry to adapt to a more rigorous (and thus
more valid) set of standards? If the latter is the case, this
puts bepress in a bit of a dilemma. By publicizing your new
filter, you release the blueprint of how one could code the
behavior of a robot to actively avoid being filtered. At this
point, details are left conspicuously vague [1] and subscribers
will just need to take your word that you are attempting to
report honest figures.
Secondly, it seems that there is an underlying value frame to
your arguments. For instance, someone who downloads only one
article for the purposes of reading is counted whereas another
who downloads a hundred in order to do computational linguistics
is not. Humans are valued through their intentionality, but
robots are not. Yet robots do provide a real value to potential
readers since they actively index and provide entry points for
access; or by downloading and caching, robots can provide
redundancy and archiving. In sum, deciding what goes into one's
filter makes implicit value judgments on what is worth (or not
worth) counting.
[1] "Remove downloads from unidentifiable RACS, using Bayesian
analysis and other heuristics" from:
http://www.bepress.com/download_counts.html
--
Philip M. Davis
PhD Student
Department of Communication
336 Kennedy Hall
Cornell University, Ithaca, NY 14853
email: pmd8@cornell.edu
https://confluence.cornell.edu/display/~pmd8/resume